def runner(
self, config, atomic_data_fname,
tardis_ref_data, generate_reference):
config.atom_data = atomic_data_fname
self.name = (self._name +
"_{:s}".format(config.plasma.line_interaction_type))
if config.spectrum.integrated.interpolate_shells > 0:
self.name += '_interp'
simulation = Simulation.from_config(config)
simulation.run()
if not generate_reference:
return simulation.runner
else:
simulation.runner.hdf_properties = [
'j_blue_estimator',
'spectrum',
'spectrum_integrated'
]
simulation.runner.to_hdf(
tardis_ref_data,
'',
self.name)
pytest.skip(
'Reference data was generated during this run.')
def runner(
self, config, atomic_data_fname,
tardis_ref_data, generate_reference):
config.atom_data = atomic_data_fname
self.name = (self._name +
"_{:s}".format(config.plasma.line_interaction_type))
if config.spectrum.integrated.interpolate_shells > 0:
self.name += '_interp'
simulation = Simulation.from_config(config)
simulation.run()
if not generate_reference:
return simulation.runner
else:
simulation.runner.hdf_properties = [
'j_blue_estimator',
'spectrum',
'spectrum_integrated'
]
simulation.runner.to_hdf(
tardis_ref_data,
'',
self.name)
pytest.skip(
'Reference data was generated during this run.')
def setup(self):
self.atom_data_filename = os.path.expanduser(os.path.expandvars(
pytest.config.getvalue('atomic-dataset')))
assert os.path.exists(self.atom_data_filename), ("{0} atomic datafiles"
" does not seem to "
"exist".format(
self.atom_data_filename))
self.config_yaml = yaml_load_config_file(
'tardis/io/tests/data/tardis_configv1_verysimple.yml')
self.config_yaml['atom_data'] = self.atom_data_filename
tardis_config = Configuration.from_config_dict(self.config_yaml)
self.simulation = Simulation.from_config(tardis_config)
self.simulation.run()
def setup(self):
self.atom_data_filename = os.path.expanduser(
os.path.expandvars(pytest.config.getvalue('atomic-dataset')))
assert os.path.exists(
self.atom_data_filename), ("{0} atomic datafiles"
" does not seem to "
"exist".format(self.atom_data_filename))
self.config_yaml = yaml_load_config_file(
'tardis/io/tests/data/tardis_configv1_verysimple.yml')
self.config_yaml['atom_data'] = self.atom_data_filename
tardis_config = Configuration.from_config_dict(self.config_yaml)
self.simulation = Simulation.from_config(tardis_config)
self.simulation.run()
def runner(self, atomic_data_fname, tardis_ref_data, generate_reference):
config = Configuration.from_yaml(
'tardis/io/tests/data/tardis_configv1_verysimple.yml')
config['atom_data'] = atomic_data_fname
simulation = Simulation.from_config(config)
simulation.run()
if not generate_reference:
return simulation.runner
else:
simulation.runner.hdf_properties = [
'j_blue_estimator', 'spectrum', 'spectrum_virtual'
]
simulation.runner.to_hdf(tardis_ref_data, '', self.name)
pytest.skip('Reference data was generated during this run.')
def runner(self, atomic_data_fname, tardis_ref_data, generate_reference):
config = Configuration.from_yaml(
"tardis/io/tests/data/tardis_configv1_verysimple.yml")
config["atom_data"] = atomic_data_fname
simulation = Simulation.from_config(config)
simulation.run()
if not generate_reference:
return simulation.runner
else:
simulation.runner.hdf_properties = [
"j_blue_estimator",
"spectrum",
"spectrum_virtual",
]
simulation.runner.to_hdf(tardis_ref_data, "", self.name)
pytest.skip("Reference data was generated during this run.")
def runner(self, config, atomic_data_fname, tardis_ref_data,
generate_reference):
config.atom_data = atomic_data_fname
self.name = self._name + f"_{config.plasma.line_interaction_type:s}"
if config.spectrum.integrated.interpolate_shells > 0:
self.name += "_interp"
simulation = Simulation.from_config(config)
simulation.run()
if not generate_reference:
return simulation.runner
else:
simulation.runner.hdf_properties = [
"j_blue_estimator",
"spectrum",
"spectrum_integrated",
]
simulation.runner.to_hdf(tardis_ref_data, "", self.name)
pytest.skip("Reference data was generated during this run.")
def runner(
self, atomic_data_fname,
tardis_ref_data, generate_reference):
config = Configuration.from_yaml(
'tardis/io/tests/data/tardis_configv1_verysimple.yml')
config['atom_data'] = atomic_data_fname
simulation = Simulation.from_config(config)
simulation.run()
if not generate_reference:
return simulation.runner
else:
simulation.runner.hdf_properties = [
'j_blue_estimator',
'spectrum',
'spectrum_virtual'
]
simulation.runner.to_hdf(
tardis_ref_data,
'',
self.name)
pytest.skip(
'Reference data was generated during this run.')
